DatriseAI-first ETL

Google Analytics 360 Chartio

AI-first ETL from Google Analytics 360 into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into Chartio

Datrise syncs Google Analytics 360's records, events, and configuration objects into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Google Analytics 360 entities map to Chartio

Google Analytics 360 entityChartio objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → flattened columns for visual SQL
eventsgoogle_analytics_360_eventstemporal columns events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360's custom fields in Chartio?

Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.

How does the Google Analytics 360 to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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